SOTAVerified

Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1525 of 1723 papers

TitleStatusHype
Taskology: Utilizing Task Relations at Scale—0
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving—0
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances—0
Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding—0
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction—0
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications—0
Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation—0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation—0
Test-Time Intensity Consistency Adaptation for Shadow Detection—0
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions—0
A pooling based scene text proposal technique for scene text reading in the wild—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
Text-to-Image GAN with Pretrained Representations—0
Anticipating Object State Changes in Long Procedural Videos—0
Texture Underfitting for Domain Adaptation—0
TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots—0
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation—0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
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All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44—Unverified
2Team VGAI (TCS Research)OMQ0.37—Unverified
3Demo_semantic_SLAMOMQ0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35—Unverified